An ever increasing part of communication between persons involve the use of pictures, due
to the cheap availability of powerful cameras on smartphones, and the cheap availability of …

Abstract We propose Dual Cross-Attention (DCA), a simple yet effective attention module
that enhances skip-connections in U-Net-based architectures for medical image …

Abstract Background Adverse Drug Reactions are one of the leading causes of injury or
death among patients undergoing medical treatments. Not all Adverse Drug Reactions are …

Naive Bayes (NB) is a popular machine learning tool for classification, due to its simplicity,
high computational efficiency, and good classification accuracy, especially for high …

The amount and variety of digital data currently being generated, stored and analyzed,
including images, videos, and time series, have brought challenges to data administrators …

Nearest-neighbor density estimators usually do not work well for high dimensional datasets.
Moreover, they have high time complexity of O (n 2) and require high memory usage …

The fact that there exists a gap between low-level features and semantic meanings of
images, called the semantic gap, is known for decades. Resolution of the semantic gap is a …

Online shop** is very popular and has grown exponentially due to revolution in
digitization. It is a fundamental requirement of all the search engines to provide …

A significant effort by researchers has advanced the ability of computers to understand,
index and annotate images. This entails automatic domain specific knowledge-base (KB) …

Presently, corporations and individuals have large image databases due to the explosion of
multimedia and storage devices available. Furthermore, the accessibility to high speed …